Commodity positioning and purchase guiding method and system

Abstract

The invention discloses a commodity positioning and purchase guiding method and system. The method comprises the following steps: S100, a server judges whether a user enters a store according to a state that the user connects a store network; S200, the server judges whether an own database has an initial to-be-purchased commodity list, S300 is executed if yes, or otherwise S400 is executed; S300, the server obtains position related information of the user, and sends a path diagram to an intelligent terminal via a wireless node; and S400, the server analyzes human face related information obtained by a monitoring device, and sends commodity related information to the intelligent terminal via the wireless node. According to the commodity positioning and purchase guiding method and system disclosed by the invention, by positioning intelligently and accurately, and pushing a shopping mall map and commodity information, and according to user personal settings, the time that the user selects a commodity in a shopping mall when purchasing is shortened; and meanwhile, a user demand is intelligent analyzed, thereby helping the user to quickly purchase a needed article, and preventing the user from spending excessively; and thus, the user experience is improved.

Description

technical field [0001] The invention relates to the field of store shopping guides, in particular to a method and system for positioning and shopping guides of commodities. Background technique [0002] With the continuous improvement of people's living standards, more and more people are used to shopping in large-scale stores, especially large-scale stores have a complete range of products, and the quality of the products is worthy of everyone's trust, so they are more and more popular. However, when shopping in a large store, especially for a store with a large scale and a large variety, it is difficult for consumers to find the specific location of the desired item at the first time, and it is also impossible to compare multiple products, and it is impossible to Get information about discounts from shopping malls, etc. One is that for those who come to this store for the first time, it is like walking into a maze, and it takes longer to find the products they need. They ...

AI Technical Summary

Problems solved by technology

In the existing shopping guide technology, first of all, the flyer style is not environmentally friendly, and it will not be read by users to a large extent

Secondly, using personnel as beacons consumes manpower and increases operating costs, and cannot effectively improve service quality

However, the number of shopping guide cards is limited, the instructions of the shopping guide cards are not clear, the desired location cannot be found, the interaction with consumers is lacking, and the shopping guide cannot be carried out in real time

Moreover, because the GPS signal is very weak indoors, the positioning accuracy is low, and the energy consumption is high, so it cannot be used to accurately locate consumers in stores and shopping malls

In addition, it is impossible to accurately push the user-specific demand information, let alone push relevant information according to the user's shopping needs during the user's shopping process

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